Data Analytics Engineer (Puerto Rico)

Location: US-PR-SANTA ISABEL-B1 ~ Felicia Industrial Park - St B1 ~ BLDG 1

 Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance: None/Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense. The following position is to join our RTX Enterprise Services team in Santa Isabel, Puerto Rico: The Data & Insights team in RTX Corporate is seeking a Data Analytics Engineer to develop reliable, scalable data and analytics solutions that improve business performance, operational efficiency, and decision-making. This role is responsible for integrating and transforming complex data from multiple sources, building trusted datasets and data pipelines, and applying analytical methods to solve business challenges. Working closely with stakeholders, the engineer will deliver data products, analytical solutions, and data models that drive informed decisions and support the team's AI/ML initiatives through data preparation, feature engineering, and scalable engineering solutions. The ideal candidate combines strong data engineering and analytical expertise with curiosity, critical thinking, and problem-solving skills, is comfortable navigating ambiguity, proactively partners with stakeholders to understand business needs, communicates complex data effectively to diverse audiences, and contributes technical leadership while owning projects from requirements through implementation in a fast-paced, collaborative environment.

Design, build, and maintain reliable, scalable data pipelines, data models, and curated datasets supporting analytics, reporting, decision-making, and AI/ML applications. Integrate, transform, standardize, and validate data from diverse and non-standard sources, including enterprise applications, spreadsheets, databases, text files, APIs, and operational data sources. Develop and maintain data visualization, statistical analysis, reporting, and analytical solutions that improve understanding of enterprise and infrastructure data. Establish and improve data quality, validation, monitoring, governance, documentation, and data management practices to ensure trusted and reusable data. Work directly with customers and stakeholders to understand business and operational needs, identify opportunities for improvement, and translate requirements into practical data and analytical solutions. Independently lead projects using appropriate software development and agile practices, from requirements and solution design through development, testing, implementation, and continuous improvement. Develop and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures. Provide data engineering and analytical support for AI/ML initiatives, including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions. Collaborate with cross-functional teams across IT and operations while providing technical guidance, peer review, and mentoring to other members of the Data & Insights team. Apply information security, information assurance, governance, privacy, and compliance requirements to all data, analytics, and